PhD (IITB)
Tarang Pansuriya, CSE
Drashthi Doshi, CSE (co-advised with Prof. Swaprava Nath)
Bittu Kumar, CMInDS (co-advised with Prof. Parthe Pandit)
Pujari Giridhar, SysCon
Masters
Garima Jain, CSE
Akshit Varmora, CSE
Bachelors
Ananya Kunisetty, CSE
Nandan M. Immadisetty, CSE
Anshu Arora, EE
Ved Danait, CSE
[BTech] Anish Kulkarni, CSE (IITB --> QuantBox [Quant researcher])
[BTech] Satush Parikh, EE (IITB --> MIT, USA)
[BTech] Tejas Pagare, EE (IITB --> Honda RnD, Tokyo)
[BTech] Pranava Singhal, EE (IITB --> Stanford University, USA)
[BTech] Yash, BTech, EE, IITB
[MTech] Devyansh Shukla, MTech, SysCon, IITB
[MTech] Manauwar Alam, MTech, SysCon, IITB
Online Learning Under Structured Non-Stationary Environment with Heavy Tailed Mixtures -- Optiver AI Innovation Lab (10 lakhs)
Competitive Markets: A Multi-Agent Bandits Viewpoint -- IITB–Citadel Securities Quantitative Research Lab (15 lakhs)
Algorithms for Non-parametric Regression in Reproducing Kernel Banach Spaces -- Amazon IITB AI-ML Initiative (15 lakhs over a span of 1 year) [Co-PI: Prof. Parthe Pandit, CMInDS, IIT Bombay].
Incentivizing Contribution in Federated Learning -- Amazon IITB AI-ML Initiative (27 lakhs over a span of 2 years) [Co-PI: Prof. Swaprava Nath, CSE, IIT Bombay].
Provable and Efficient Algorithms for Federated Batch and Reinforcement Learning --- IIT Bombay Seed Grant (20 lakhs INR over 3 years)